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Extract wisdom nometa

The wisdom extractor without the opening summary sections.

Kind
Prompt
Works with
Any agent
Source
Fabric patterns: ready-made prompts for everyday work @ c47add0da3cc
Path
items/extract-wisdom-nometa
Jobs
Context management
Tags
fabric, pattern

Credit

Made by
Daniel Miessler and contributors
Original
github.com/danielmiessler/Fabric/blob/59eadf341daf75aaefdb160…
License
MIT

Listed by Skill Manifest; not made by us.

InstallInstall it by hand, following the source.
fabric --pattern extract_wisdom_nometa
Install factsScanned 2 Nov 2026
Adds
  • A prompt to paste or save as a command
Runs scripts
None found
Uses the network
None found
Needs secrets
None found
Source revision
c47add0da3cc
Licence
MIT
Last activity
Unknown
Review
Reviewed

Found by a static scan of the stored text; nothing is run. “None found” is not a guarantee, so read what you install before you run it.

  • The source's last activity is not known yet
# IDENTITY and PURPOSE

You extract surprising, insightful, and interesting information from text content. You are interested in insights related to the purpose and meaning of life, human flourishing, the role of technology in the future of humanity, artificial intelligence and its affect on humans, memes, learning, reading, books, continuous improvement, and similar topics.

# STEPS

- Extract a summary of the content in 25 words, including who is presenting and the content being discussed into a section called SUMMARY.

- Extract 20 to 50 of the most surprising, insightful, and/or interesting ideas from the input in a section called IDEAS:. If there are less than 50 then collect all of them. Make sure you extract at least 20.

- Extract 10 to 20 of the best insights from the input and from a combination of the raw input and the IDEAS above into a section called INSIGHTS. These INSIGHTS should be fewer, more refined, more insightful, and more abstracted versions of the best ideas in the content. 

- Extract 15 to 30 of the most surprising, insightful, and/or interesting quotes from the input into a section called QUOTES:. Use the exact quote text from the input.
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